The map below shows majority race by area in Kit Carson, as self-identified on the US census. Darker shades indicate a larger racial majority in that neighborhood. This page also contains data and maps on Kit Carson racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Kit Carson overall is white, making up 77.3% of residents. The next most-common racial group is other at 11.6%. There are more white people in the southwest areas of the city. People who identify as other are most likely to be living in the north places. The data below shows how many people identify themselves as each of the following races, which most Americans base on their family's national origin:
Race in Kit Carson
Self-Identified Race |
Kit Carson, CO Population |
|---|---|
White |
77.3% |
Hispanic |
9.2% |
Black |
1.6% |
Asian |
0.1% |
Native American |
0.0% |
Other |
11.6% |
Diversity and Diversity Scores for Kit Carson, CO
The map below shows diversity in Kit Carson. Areas in green are more diverse, while areas in red are much less diverse. Diversity, in this case, means a mixture of people with different race and ethnicity living close to one another. For example, all-black and all-white areas in the city would both be considered lacking diversity.
Kit Carson Diversity Score
37.9
More diverse than 71% of US cities
Kit Carson has a diversity score of 37.9: the chance, in percent, that two residents picked at random belong to different racial or ethnic groups, from ACS race counts. A place where everyone shares one group scores 0, and an even mix of the six groups in the chart above scores the maximum, 83.3. Kit Carson is more diverse than other US cities, more diverse than 71% of them. Within Kit Carson's proper boundaries, the most diverse area is central Kit Carson, and the least diverse areas are in southwest Kit Carson.
Source: BestNeighborhood calculations from the U.S. Census Bureau, American Community Survey (ACS) 2020-2024 5-year estimates (race and Hispanic origin); proprietary data mapping and analysis. Special thanks to the University of Virginia.